Mathematical modeling is an important tool in both understanding the spread of infectious disease throughout populations and decision-making for public health departments. Mathematical models of HIV provide researchers and policy makers with the information to project future trends of the epidemic, determine the most cost-effective interventions, and create new health policy. This webinar will introduce the basics of commonly used mathematical models for HIV, the benefits and challenges of creating models of HIV transmission, and examples of interventions for HIV prevention created through mathematical modeling. The slide presentation, video recording, and Facebook Live session are available below.
Jowanna Malone is a doctoral student in Infectious Disease Epidemiology at Johns Hopkins Bloomberg School of Public Health. Her research focuses on HIV prevention and treatment efforts among racial and sexual minority groups, with a specific focus on PrEP use. She is especially interested in how intersectional marginal identities affect one’s HIV/STI outcomes. Jowanna has a background in social sciences, having received her B.A. in Sociology from Harvard College and a Master of Science in Infectious Disease Epidemiology from Harvard T.H. Chan School of Public Health.
Forrest Jones is a doctoral student in Infectious Disease Epidemiology at Johns Hopkins Bloomberg School of Public Health. Prior to JHSPH, he was an ASPPH/CDC Allan Rosenfield Global Epidemiology Fellow stationed at the CDC office in Dar es Salaam, Tanzania. He received his MPH in Epidemiology of Microbial Diseases from Yale School of Public Health in 2015 and BS in Chemical Biology from UC Berkeley in 2013. He is passionate about the combined use of dynamic models and field studies to inform public health interventions.
Continuing our mathematical modeling discussion, we are chatting with Matthew Rose of NMAC to discuss how HIV advocates can implement modeling in their work.